Course Schedule, Part-time Online Program
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.
MSDS 440-DL : Full-Stack Data Engineering
Description
This course introduces the full-stack development process for data science. Students learn how to implement end-to-end applications using web-based technologies and the model-view-controller framework. They build real-time application servers, backend databases, and front-end interfaces. They create microservices that deploy machine learning algorithms. The course shows how to extract information from online resources. Graph theory, information retrieval, social media, and text analytics are discussed and employed in real-world applications. Students also learn design principles for implementing relational, document, and graph databases. This is a project-based course with a strong programming component.
Prior to fall 2023, this course was titled "Real-Time Interactive Processing and Analytics."
Prerequisites: (1) MSDS 420-DL Database Systems or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.